del cite tag in doc

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jnanliu 2025-02-26 04:23:30 +00:00
parent 12f46044f0
commit 66b1c6c64c
2 changed files with 14 additions and 14 deletions

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@ -101,13 +101,13 @@ afqmc_datasets = [
```
> Additionally, for binary evaluation metrics (such as accuracy, pass-rate, etc.), you can also set the parameter `k` in conjunction with `n` for [G-Pass@k](http://arxiv.org/abs/2412.13147) evaluation. The formula for G-Pass@k is:
>
> ```{math}
> \text{G-Pass@}k_\tau=E_{\text{Data}}\left[ \sum_{j=\lceil \tau \cdot k \rceil}^c \frac{{c \choose j} \cdot {n - c \choose k - j}}{{n \choose k}} \right],
> ```
>
> where $n$ is the number of evaluations, and $c$ is the number of times that passed or were correct out of $n$ runs. An example configuration is as follows:
Additionally, for binary evaluation metrics (such as accuracy, pass-rate, etc.), you can also set the parameter `k` in conjunction with `n` for [G-Pass@k](http://arxiv.org/abs/2412.13147) evaluation. The formula for G-Pass@k is:
```{math}
\text{G-Pass@}k_\tau=E_{\text{Data}}\left[ \sum_{j=\lceil \tau \cdot k \rceil}^c \frac{{c \choose j} \cdot {n - c \choose k - j}}{{n \choose k}} \right],
```
where $n$ is the number of evaluations, and $c$ is the number of times that passed or were correct out of $n$ runs. An example configuration is as follows:
```python
aime2024_datasets = [

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@ -100,13 +100,13 @@ afqmc_datasets = [
]
```
> 另外对于二值评测指标例如accuracypass-rate等还可以通过设置参数`k`配合`n`进行[G-Pass@k](http://arxiv.org/abs/2412.13147)评测。G-Pass@k计算公式为
>
> ```{math}
> \text{G-Pass@}k_\tau=E_{\text{Data}}\left[ \sum_{j=\lceil \tau \cdot k \rceil}^c \frac{{c \choose j} \cdot {n - c \choose k - j}}{{n \choose k}} \right],
> ```
>
> 其中 $n$ 为评测次数, $c$ 为 $n$ 次运行中通过或正确的次数。配置例子如下:
另外对于二值评测指标例如accuracypass-rate等还可以通过设置参数`k`配合`n`进行[G-Pass@k](http://arxiv.org/abs/2412.13147)评测。G-Pass@k计算公式为
```{math}
\text{G-Pass@}k_\tau=E_{\text{Data}}\left[ \sum_{j=\lceil \tau \cdot k \rceil}^c \frac{{c \choose j} \cdot {n - c \choose k - j}}{{n \choose k}} \right],
```
其中 $n$ 为评测次数, $c$ 为 $n$ 次运行中通过或正确的次数。配置例子如下:
```python
aime2024_datasets = [